Home & kitchen case study: plan for ₹40,000 to ₹49,523 monthly revenue in 6 months

New ads per month

1. 1

   Research & offer · Month 1

   What we'd do

   Start with marketing and social presence, which the booking named first, before anything else on this smaller store. Open with three documents: a website audit, a creative brief and a media plan by month. Use cart-value tiers so larger baskets earn a better offer.

   Why

   A smaller home and kitchen store asked us how to grow monthly revenue in 6 months, from ₹40,000 to ₹50L (125x). That is faster than nine in ten of our measured accounts grew over the same time, so the plan below is modelled on what that fastest tenth reached and shows where it lands against the target. The problem named at booking was marketing and social presence. Later budget calls need something written to be judged against. A larger basket spreads the cost of each order over more revenue.

   How it works

   The brief is agreed first; spend follows it. The tiers follow real order values, not round numbers.

2. 2

   Measurement & targets · Month 1 to 6

   What we'd do

   Keep a shared daily sheet with the ad platform's revenue next to real store orders. Agree a written target for every month on the way from ₹40,000 to ₹50L, and start each review with the month-to-date figure against it. Set a written rule: no budget step in a month where return would fall too far to pay for it.

   Why

   No return on ad spend was given at booking; the starting return is what measured home and kitchen stores of that size hold. Platform attribution over-counts, so budget decisions sit on the store-side number. A shortfall is caught in the month it happens, not at the end.

   How it works

   The sheet is read before each budget change. Each budget step is argued against the written target. Where return would slip too far, the month keeps last month's budget.

3. 3

   Creative testing · Month 1

   What we'd do

   Test with video, catalogue ads and static image first, rising to about two dozen new ads a month by the final month, keeping carousel on a short leash because its return trails the account. Stack kitchen and home interests around a creator video of the lead product. Brief creators for a steady run of UGC video, with regional-language cuts of the winners. Run static images next to the video ads.

   Why

   A demonstration video explains a utility product faster than a static image. A steady supply keeps the testing layer fed, and regional cuts reach more buyers with the same idea. Across measured accounts in all industries, static images reached the top creative tier most often.

   How it works

   The interest stack runs beside a broad audience, read on the same video. Winning UGC is cut into regional languages before new ideas are bought. Statics are added after a video wins. The number of new ads grows with spend; video makes up the largest part and catalogue ads the next.

4. 4

   Scaling · Month 2 to 4

   What we'd do

   Through Month 2 to Month 4, push toward ₹50L: the budget rises gently while return holds, and Instagram Reels carries the most spend and Instagram Feed the next. Raise budget only while return on spend holds, and cut it when return drops. Cut regional-language versions of the winning video for the best-selling states.

   Why

   In Month 2 to Month 4 the modelled budget rises gently, while return on spend holds. Budget is part-stepped in three of these months, taking only what return will carry. Each budget step here is sized so that return stays close to where it was. The same winning idea reaches more buyers in their own language.

   How it works

   Each month's budget is set by the return the last one earned. Regional cuts run beside the original winner. In the final month, Instagram Reels takes the most spend and Instagram Feed the next most. Cold audiences take most of the budget; warm audiences return more per rupee.

5. 5

   Steady state · Month 5 to 6

   What we'd do

   From Month 5, protect the revenue already built and move toward ₹50L where return permits. Hold a creative bank and swap tired ads out before click-through falls. Build lookalikes from repeat buyers and retarget past buyers with new arrivals.

   Why

   From Month 5 growth slows while revenue is still under ₹50L. Spend still grows, at a slower pace than during scaling. Falling click-through preceded a revenue drop in a measured account, so creative refresh is not optional. Repeat buyers are the cheapest orders an account gets.

   How it works

   Refreshes are gradual: a few new ads at a time. New arrivals go to past buyers first, before broad prospecting.

1. Month 1

   Learning month: a small daily budget carries the first ads, and store orders are matched to tracking. Basket-size offers switch on at checkout. The media plan and creative brief are signed off.

   • Projected revenue ₹37,846
   • Projected ROAS 1.89x
   • Planned ad spend ₹20,042
2. Month 2

   The scaling phase opens: regional-language cuts of the winning UGC go live. The step is sized by what return will bear: return on spend holds while budget steps up.

   • Projected revenue ₹43,616
   • Projected ROAS 1.90x
   • Planned ad spend ₹22,905
3. Month 3

   Ads with falling click-through are swapped from the bank. The step is sized by what return will bear: return on spend rises while budget holds.

   • Projected revenue ₹46,126
   • Projected ROAS 2.00x
   • Planned ad spend ₹23,108
4. Month 4

   Statics go live next to the winning video.

   • Projected revenue ₹46,303
   • Projected ROAS 1.87x
   • Planned ad spend ₹24,696
5. Month 5

   From here the work shifts to keeping ads fresh and bringing buyers back.

   • Projected revenue ₹47,527
   • Projected ROAS 1.86x
   • Planned ad spend ₹25,494
6. Month 6

   The budget decision is taken on the return the last step earned. The step is sized by what return will bear: return on spend holds while budget holds. ₹50L is not reached in the time, because budget stops rising where return would slip. Each order costs about what it did while learning.

   • Projected revenue ₹49,523
   • Projected ROAS 1.90x
   • Planned ad spend ₹26,072

1. 01

   Stack kitchen and home interests around a creator video of the lead product.

2. 02

   Track ad-platform revenue beside store revenue (and net sales) daily or weekly, and set targets on the lower number.

3. 03

   Tested cost caps and bid caps against open bidding